干旱区生态环境知识资源中心(Arid): Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia

Arid

DOI	10.1016/j.ecoinf.2022.101750
	Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia
	Bai Zongfan; Han Ling; Jiang Xuhai; Liu Ming; Li Liangzhi; Liu Huiqun; Lu Jiaxin
通讯作者	Han, L
来源期刊	ECOLOGICAL INFORMATICS
ISSN	1574-9541
EISSN	1878-0512
出版年	2022
卷号	70
英文摘要	Desertification causes not only a reduction of vegetation cover and surface moisture but also the expansion of sandy land. Considering that the modified soil adjusted vegetation index (MSAVI) is linearly related to canopy cover, albedo plays a significant role in the surface energy balance, and the sandy feature index (SFI) can identify sandy land. This paper proposed a desertification monitoring index (DMI) based on MSAVI, albedo and SFI to accurately monitor desertification. In addition, three classification methods (quantile grading, the susceptibility index segmentation method, and Jenks Natural Breaks) were used to divide the DMI into non-desertification, mild desertification, moderate desertification, and severe desertification. The relative exponential entropy model was adopted to select the optimal method for desertification classification. Spatiotemporal distributions of desertification in Duolun County were finally observed from 2005 to 2020. The results show that (1) although MSAVI, albedo and SFI have their own advantages in monitoring desertification, a single indicator is not suitable for various land uses. The DMI can combine the advantages of MSAVI, albedo and SFI in desertification moni-toring and is more consistent with the real desertification levels. (2) Compared with quantile grading and sus-ceptibility index segmentation methods, Jenks Natural Breaks has the smallest relative exponential entropy (2.124), with an overall classification accuracy of 88.21%, indicating that Jenks Natural Breaks is an optimal method for desertification monitoring. (3) Although approximately 1708.60 km2 of desertification areas have improved from 2005 to 2020, accounting for 44.23% of the whole area, the remaining areas are still under fluctuating or degraded conditions. This shows that the local government has made some progress in desertifi-cation protection, but the areas under fluctuating or degraded conditions still require protection or management.
英文关键词	Remote sensing Landsat Desertification Spatiotemporal changes Relative exponential entropy
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000853793500002
WOS关键词	CLASSIFICATION SCHEME ; DYNAMICS ; COVER
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392367
推荐引用方式 GB/T 7714	Bai Zongfan,Han Ling,Jiang Xuhai,et al. Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia[J],2022,70.
APA	Bai Zongfan.,Han Ling.,Jiang Xuhai.,Liu Ming.,Li Liangzhi.,...&Lu Jiaxin.(2022).Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia.ECOLOGICAL INFORMATICS,70.
MLA	Bai Zongfan,et al."Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia".ECOLOGICAL INFORMATICS 70(2022).